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New Computer Science programme with the Kharkiv National University of Radio Electronics (NURE)

The University of Warwick will launch a new Computer Science programme with the Kharkiv National University of Radio Electronics (NURE) this September. This announcement coincides with the second anniversary of the University of Warwick's official twinning with NURE (29 Mar). The full story is available hereLink opens in a new window.

Wed 10 Apr 2024, 13:51 | Tags: Courses Highlight Research Faculty of Science

DCS Holds Alumni Reunion Event

The DCS hosted CS-ARC on the 22nd of March, with over 70 alumni coming to campus to reminisce and share their stories.

Tue 09 Apr 2024, 09:27 | Tags: People Highlight Outreach Alumni

Dr. Fanghui Liu on AAAI-24 New Faculty Highlights

Dr Fanghui Liu was selected as a speaker in AAAI 2024 New Faculty Highlights Program to present his research on machine learning theory as well as theoretical-oriented applications.

Mon 04 Mar 2024, 09:00 | Tags: People Highlight

Winners of the MSc prizes

The department congratulates all 2022-2023 MSc students graduating in January 2024. Extra congratulations to the winners of the following MSc prizes:

Luisa F. Estrada Plata: Best dissertation in MSc Data Analytics & Best overall performance (MSc Data Analytics)

Aakash Chandnani: Best overall performance (MSc Computer Science)

Yijie Zhu: Best dissertation in MSc Computer Science

Weitong Liao: Best dissertation in MSc Computer Science

Thu 18 Jan 2024, 10:36 | Tags: Courses Highlight Faculty of Science Teaching

Latest academic promotions

We are happy to announce four promotions in the department:

Many congratulations to our colleagues for all their achievements!


Paris Giampouras joins the department as an Assistant Professor

We are happy to announce that Dr Paris Giampouras has joined the Department of Computer Science as an Assistant Professor. Originally from Greece, he has relocated to Warwick from Baltimore, where he spent four years working as a Postdoctoral Fellow and later as a Research Faculty member at the Mathematical Institute for Data Science at Johns Hopkins University. His expertise lies in machine learning theory and its applications in image processing and computer vision. More specifically, his research has focused on exploring parsimonious representations to address various inverse problems and adversarial robustness.

Currently, he is focusing on two main areas: a) leveraging structured representation in Generative AI applications, and b) developing algorithms that enable continual learning of various tasks for deep learning systems. His goal is to contribute to the foundational understanding of AI algorithms, with a focus on robustness, applications of AI in medicine, and climate change.

We welcome him to the department!


Two New Assistant Professors

We are happy to announce that Dr Fanghui Liu and Dr Debmalya Mandal have joined the Department of Computer Science as Assistant Professors.

Fanghui finished his PhD degree at Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University in 2019. Then he gained the research experience in Europe as a postdoc researcher, at ESAT-STADIUS, KU Leuven from 2019 to 2021 and Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland from 2021 to 2023, respectively. His research interests include machine learning, statistical learning theory as well as applications in trustworthy machine learning systems.

Debmalya completed his Master’s degree in Computer Science and Automation from Indian Institute of Science, and his PhD in Computer Science from Harvard University, where he was also part of the EconCS group. He then gained experience as a postdoctoral researcher at the Data Science Institute of Columbia University, and at the Max Planck Institute of Software Systems. He is broadly interested in the theoretical foundations of AI/ML systems and often incorporate tools from computational social choice, game theory, and machine learning theory in his research. He is currently working on fairness in machine learning, reinforcement learning, and the exciting problem of AI alignment.

We welcome them both to the department!


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